News

This coordinated research, development, and deployment strategy is designed to advance core technologies to solve difficult computational problems and foster increased use of the new capabilities in the public and private sectors.
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The Predictive Ecosystem Analyzer (PEcAn) toolbox provides a scientific workflow system to manage heterogeneous environmental data and a Bayesian data assimilation system to synthesize this information within state-of-the-art ecosystems models.
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Researchers will develop a cutting-edge, automated system to collect, analyze, and share data on multiple characteristics of sorghum, a key bioenergy crop, and to link observational data to genomic data.
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"We simulate thousands of galaxies at a time, including their interactions through gravity and radiation, and that poses a tremendous computational challenge,” said principal investigator Brian O’Shea.
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A team led by Fatemeh Khalili-Araghi, University of Illinois at Chicago, simulated heat transfer between grain boundaries at the atomic level, finding that when the computer ''built'' grain boundaries with different mismatch angles, the grain boundary was not just a line, it was a region of disordered atoms.
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